#Artificial Intelligence

An open translation project that converts top-notch tech articles from Juejin, including areas like blockchain, AI, and more. With 4000+ articles and input from 1500 translators, it is a vital resource for developers looking to explore new technologies.

Discover extensive deep learning applications and inference deployment frameworks in this updated resource. This tutorial builds upon the first edition, offering foundational concepts and guiding from basic knowledge to industry applications in computer vision, NLP, and large language models. It details PyTorch fundamentals and projects covering image processing, text generation, and model deployment with ONNX and TensorRT, allowing learners to apply theory in practice. Designed for AI learners, students, and professionals aiming to extend their understanding and practical skills in PyTorch.

AGiXT is designed to streamline AI automation, offering intelligent management of AI instructions. It features Smart Instruct and Smart Chat for enhanced AI interactions. The platform supports efficient workflows with a versatile plugin system and is compatible with major AI providers including OpenAI. Continually evolving, AGiXT bridges the gap between users and advanced AI technology.

Discover detailed charts and guides to become an AI, data science, or machine learning professional. Benefit from interactive resources and updates supported by AMAI GmbH, designed for clarity in educational paths.

Participate in industry-relevant engineering challenges using MATLAB and Simulink. Gain practical experience and recognition from MathWorks with projects in AI, renewable energy, and more, contributing to sustainability and innovation.

The Ai-Learn project provides a detailed plan for self-directed AI education aimed at practical use and job readiness, featuring over 200 authentic case studies from the creator's five years of teaching. It includes a complimentary eBook on Python data analysis and machine learning. The learning path emphasizes essential tools such as Anaconda and Jupyter Notebook, with a focus on foundational topics like Python basics, machine learning algorithms, data analysis, deep learning platforms, computer vision, and NLP. The approach ensures a methodical skill-building process. Full access to resources is available through downloadable content and contact information.

This plugin adds AI capabilities to Vim and Neovim, allowing users to generate code, edit text, and engage in conversations using GPT models from OpenAI's API. Features include text editing, custom roles, and chat session management with ChatGPT, requiring Vim or Neovim with python3 support and an OpenAI API key. Installation is straightforward via vim-plug or manual methods. Enhance coding efficiency with customizable key bindings and role management.

Explore a range of free machine learning courses from prestigious institutions including MIT, Stanford, and Berkeley. These offerings encompass crucial subjects like Deep Learning, Artificial Intelligence, and Natural Language Processing, delivered by expert educators. Suitable for newcomers and advanced learners alike, these courses provide flexible learning opportunities for skill enhancement. Delve into academic resources from universities like Carnegie Mellon and NYU for a comprehensive educational experience.

Discover a vast selection of free software and services that span a range of categories such as APIs, Machine Learning, and Artificial Intelligence. This project serves as a valuable repository for developers, students, and users seeking cost-free tools that foster productivity and innovation. Supported by a strong community, it provides up-to-date offerings tailored to diverse professional needs.

Discover Toolformer in PyTorch, a MetaAI initiative that integrates API tool utilization for language models. This project showcases transformer training with API calls to improve output efficiency, featuring examples with PaLM and a unique fitness scoring method. Designed for AI researchers advancing language model capabilities through tool integration.

PyWinAssistant transforms UI automation on Windows 10/11 with AI-powered spatial reasoning, facilitating efficient task execution without OCR reliance. Seamlessly integrate natural language commands for comprehensive real-time operations, ensuring compatibility across applications and robust error resolution to support diverse workflow optimization.

Access comprehensive Azure-based resources for academic communities, covering AI, data science, and cross-platform development. Participate in project-based curricula, hackathons, and workshops. Ideal for K-12 to higher education, these materials support educators, students, and lifelong learners in advancing their technical skills.

This guide provides a regularly updated overview of machine learning, featuring recommended tools, curated educational resources, and practical applications for learners of all levels. It covers fundamental concepts, best practices, and specific fields such as reinforcement learning and deep learning, focusing on accessible resources and effective mastery without exaggeration.

The 12-week program offers an introduction to Artificial Intelligence, covering neural networks, deep learning, and practical experience with TensorFlow and PyTorch. It delves into different AI methodologies, including symbolic AI and genetic algorithms, while omitting business uses and deep mathematics. Ethical implications and additional opportunities for learning are available through resources like Microsoft Learn.

This project reimagines the classic Snake game through advanced AI-driven algorithms and performance metrics, transitioning from C++ to Python with an intuitive interface. It enhances gameplay by optimizing the snake's length and movement using solvers such as Hamilton, Greedy, and experimental DQN, evaluated through average length and steps. Designed for AI practitioners, the project supports easy integration with Python 3.6+ and Tkinter, with comprehensive unit testing to ensure durability. Explore AI's impact on strategic gaming applications.

This project offers a clear overview of AI ethics guidelines, principles, and regulations, simplifying the navigation of extensive resources. It supports practitioners in tackling the complex ethical challenges posed by widespread AI use, providing streamlined access to frameworks, tools, and standards, as well as insights into courses and policy developments, facilitating the adoption of responsible AI practices.

Examine a distinctive platform from Silicon Valley that integrates lifelong learning with real-world societal challenges, cultural analysis, and technological advancements. Gain insights from transformative literature and innovative courses in AI, blockchain, and market strategies, promoting education and professional development through global and diverse experiences.

The plugin provides direct integration of Automatic1111's Stable Diffusion AI within Photoshop, streamlining the workflow by removing the need for switching applications. Users can efficiently edit and save images using familiar Photoshop tools. Installation is straightforward with three options, including an artist-friendly one-click installer. By supporting the project on Patreon, users contribute to ongoing development and gain access to exclusive features and tutorials. The tool is designed for ease of use in familiar environments, making AI approachable for creative professionals. It includes troubleshooting for loading issues and non-GPU options with Stable Horde and Colab.

This project compiles video lectures from prestigious institutions such as MIT, Stanford, and UC Berkeley, offering resources across key computer science subjects like data structures, algorithms, and artificial intelligence. Catering to college-level learners and professionals, this resource supports independent study and skill advancement. It also welcomes contributions to expand its course catalog, while maintaining content quality by excluding spam and irrelevant links.

Discover deep learning courses covering essentials to advanced topics like NLP and computer vision, curated by experts from top universities like Stanford and MIT.

Explore a carefully curated archive of top AI tools and models aimed at boosting creativity and productivity. Our extensive database includes generative AI and LLMs, keeping users abreast of the latest advancements via regular Altern Newsletter updates. Discover diverse functions like AI text, code, images, audio, marketing tools, and learning materials that support professionals across various fields. Contribute or feature AI tools within a collaborative community focused on advancing innovation.

Discover a PHP API client that is open-source and community-maintained, engineered for smooth OpenAI API integration. It includes a variety of resources such as Models, Chat, and Audio, enabling diverse functionalities like model administration, conversation processing, and audio conversion. Suitable for PHP 8.1 or later, it offers straightforward installation through Composer. Acknowledgements to developers Nuno Maduro and Sandro Gehri for their contributions, with sponsorship opportunities accessible. Explore its principal features and integration possibilities with platforms like Azure to enhance the utility of API operations in creative projects.

Discover an expansive selection of curated C++ libraries and frameworks. This resource spans standard libraries, AI, audio processing, to database management, equipping developers with essential tools for varied programming challenges. Stay informed with the latest advancements in open-source technology for robust development and design.

Discover resources blending AI and art, with tools, tutorials, and insights from creative individuals. Ideal for enthusiasts in deep learning, creative coding, and generative art. Access guides on courses from institutions like MIT, delve into diffusion models and neural radiance fields, and explore curated books and videos. Engage with leading artists and institutions, offering a comprehensive resource for integrating AI in creative endeavors.

Markdown Badges offers an easy way to incorporate various badges into profiles and projects, enhancing both aesthetics and informational aspects. Supporting categories like AI, blockchain, and cloud storage, users can easily find and deploy badges via GitHub or the live site. The project provides guidance on using five different badge styles from Shields.io. Contributions and feedback are also encouraged, enabling a broad scope of customization and interactivity.

SSAIS (Survey of Startups on Artificial Intelligence Software) offers a regularly updated collection of AI software startups, detailing companies from infrastructure to applications across countries including China, the USA, and Israel. The repository categorizes startups by technology, offering insights into the latest funding rounds and commercial impact. It aims to highlight the current state and innovation potential in fields such as data processing, NLP, and vision.

Explore a comprehensive compilation of over 180 YouTube channels providing insights into data science, machine learning, AI, programming, and software engineering. This collection serves as a valuable resource for students, professionals, and hobbyists seeking to broaden their knowledge with content ranging from tutorials to podcast discussions. Regular updates and community input ensure the list's accuracy and relevance, appealing to those interested in data engineering, statistics, web development, and cybersecurity. Discover specialized content in programming languages such as Python, R, and C++ to enhance your learning experience.

This extensive repository of AI courses provides free educational materials for learners at all levels, including topics such as Generative AI, Natural Language Processing, and Deep Learning. Featuring resources from renowned institutions like MIT, Stanford, and Harvard, it serves as a valuable tool for anyone looking to deepen their understanding of artificial intelligence. Contributions are welcome to continually expand this growing collection.

The project provides a well-organized collection of tutorials, articles, and resources relevant to Machine Learning and Deep Learning. It serves as a hub for educational content across various topics, including Artificial Intelligence, Natural Language Processing, and Statistical Learning. Contributors are encouraged to help expand this list by following the guidelines. The repository also offers targeted resources in languages like R and Python, enhancing skills in Data Science, NLP, and Machine Learning. This structured content spans basic introductions to advanced topics like Reinforcement Learning and Bayesian Machine Learning, offering resources suitable for both newcomers and experienced users.

LLM-VM by Anarchy Labs is an open-source server enhancing LLMs with features like live data augmentation and tool usage. It supports open-source models for faster AGI development, cost reduction, and flexibility. Users can locally run models, join a community, and have data control, featuring inference optimization and library callability. The project is currently in beta, with active development and ongoing improvements, making it an attractive option for those seeking actively maintained tools.

This guide assists beginners in exploring machine learning and AI in 2024 with a focus on free resources that do not necessitate any prior programming or math knowledge. It offers a versatile learning approach utilizing online videos, courses, and articles. Optional paid content is available for those seeking deeper insights, but the emphasis remains on self-study and reinforcement. Managed by Louis Bouchard, the guide includes networking and community resources, providing a comprehensive foundation for those eager to learn about machine learning.

This repository contains a comprehensive collection of links to conference publications, workshops, surveys, and software focusing on graph-based deep learning. It systematically organizes materials from top-tier conferences such as NeurIPS, ICML, and CVPR by year and topic, serving as an invaluable resource for researchers and practitioners. Keep up with advancements in artificial intelligence, machine learning, and computational linguistics through this exhaustive literature repository.

Automata is an open-source project focused on creating a fully autonomous AI system capable of self-programming. Utilizing large language models such as GPT-4, Automata integrates with vector databases and advanced tools to document, search, and write code independently. The project explores the theory of code as memory and strives towards achieving artificial general intelligence (AGI). It supports real-time documentation, offering valuable resources for developers interested in AI advancements.

Explore a comprehensive repository for AI aficionados, featuring top selections in areas including chatbots, search engines, writing tools, and image generators. This collection, attentively curated, benefits both experienced developers and those new to the AI sector, with diverse tools for AI models, video editing, music generation, and autonomous AI innovations. Remain updated with the latest advancements in AI, facilitating a seamless transition into generative AI.

Use large language models to transform Wikipedia pages into knowledge graphs in formats such as GraphML, GEXF, and HTML. Leveraging ChatGPT and a range of models via LiteLLM, this tool offers customizable prompts, efficient cache support, and affordable token usage. Suitable for generating insights into entity types and relationships in digital knowledge spaces, compatible with Google Colab and Python environments.

Stay informed on the rapidly changing AI landscape with our daily updates on new technologies and innovations. Discover tools and developments such as typing assistants powered by AI, voice-enabled robots, and advanced Chinese AI hardware. Our coverage features expert insights, notable trends, and noteworthy launches like the humanoid GPT and image-enhancing technology from companies like Huawei and Tencent. Ideal for AI followers and professionals seeking to explore new AI applications and research without exaggerated expressions.

Explore how DAIR.AI is making AI research and education accessible. Connect with the community on Discord or learn about collaboration and sponsorship opportunities on Twitter.

This survey offers an expansive view of recent developments in large language models (LLMs) within artificial intelligence. It aggregates a significant number of research papers from diverse conferences and open-access resources, providing an extensive review of the LLM field. Topics covered include alignment, data management, societal implications, and applications in sectors like healthcare and education. Key challenges such as safety, misinformation, and efficiency are also examined. This compilation is intended to assist researchers and practitioners in gaining a rapid understanding of the field and in exploring emerging research pathways in LLMs.

Explore a rich collection of AI resources spanning tools, courses, and literature, aimed at providing professionals and enthusiasts with a deep dive into key AI fields like machine learning and natural language processing. The guide offers segmentations into chat, image, and video creation tools, supported by educational material from renowned institutions to facilitate comprehensive understanding and application of AI innovations. Discover ongoing insights through curated journals and blogs, further enriched by free access to a variety of content.

Explore a vast collection of over 500 projects in AI, machine learning, deep learning, computer vision, and natural language processing, all complete with source code. Continuously updated and tested, each project offers valuable insights into practical implementations and the latest advancements. Ideal for professionals aiming to enhance skills or engage in open-source contributions, this repository covers diverse domains like Python projects, healthcare, data analysis, and more. Discover projects ranging from basic to advanced levels, providing substantial learning opportunities and hands-on experience with real-world applicability. Contributions from numerous developers ensure a rich and expansive resource perfect for those interested in innovative AI development.

BWAPI is an open-source C++ framework used to build AI for the RTS game Starcraft: Broodwar. It offers a platform for developing strategic AI by restricting game state visibility, encouraging decision-making under uncertain conditions. BWAPI allows precise unit control, detailed replay analysis, and exploration of AI strategies. It supports C++ and Java development and connects to global AI tournaments, fostering an advanced environment for AI creation and study.

The project provides a meticulously curated collection of deep learning resources for all levels, including books, courses, papers, and practical tools. It offers opportunities to learn through various formats like video lectures and online courses, and it features prominent researchers, key datasets, and essential frameworks in the field. Regular updates ensure relevance and depth for those looking to enhance their understanding of neural networks and AI, making this resource both accessible and thorough for learners and professionals.

Delve into a carefully curated collection of 100 highly cited deep learning papers from 2012-2016, delivering essential insights across numerous research areas. This guide highlights seminal works to aid deep learning researchers in gaining foundational understanding. The selection excludes new releases to maintain focus on impactful studies. Explore influential papers on neural networks, optimization, and unsupervised models that have shaped advancements in artificial intelligence and machine learning.

DeepWorks offers a range of in-depth projects and resources in deep learning, AI, and machine learning, featuring workshops on satellite imagery and model exploration, including LLM and NeRF. Enhance your expertise through developer programs in Python and Rust, and explore advanced models such as Stable Diffusion. Accessible guides and tutorials are available on Prodramp's YouTube and GitHub.

Discover a broad spectrum of SDKs offering capabilities like image recognition, text analysis, and facial detection. With tools supporting multilingual OCR, face feature extraction, and image enhancement, these SDKs cater to diverse application needs. Understand the precision in text detection, cross-modal retrieval, and specialized classifiers for animals and dishes, facilitating effective AI solutions across sectors. Keep informed with our platform to effortlessly integrate state-of-the-art AI models tailored to specific requirements.

The repository compiles resources on prompt injection attacks and defenses, offering case studies, examples, and notes for researchers and security professionals. It categorizes jailbreak and reverse engineering prompts for easy use, enhancing AI safety understanding and facilitating research on LLM vulnerabilities. Open to community contributions, this project is an invaluable tool for academic research and education in AI safety.

The book provides a detailed overview of large language models, focusing on core principles, major technologies, and future uses. It examines the evolution of these models, emphasizing OpenAI's GPT advancements. Highlighting the need for transparency, it tackles challenges academic researchers face due to limited resources. Designed for students with deep learning expertise, it includes tools like LLMBox and YuLan for model development while encouraging community engagement through various channels.

RoboticsAcademy presents an open-source platform for learning robotics, artificial intelligence, and computer vision through practical exercises. Incorporating ROS tools such as Gazebo and Rviz, it offers a rich environment for those interested in robotics. The platform's documentation aids in setup and usage, facilitating collaboration via GitHub for contributors. Discover robotics through experiential learning and community-driven resources.

Utilize advanced AI cloud services from OpenAI, Microsoft Azure, Google Gemini, and IBM Watson to optimize WordPress content processes, enhance SEO, and effectively engage audiences. ClassifAI facilitates content management with AI-driven features like automatic title and excerpt creation, text expansion, image generation, and comment moderation. Access broad functionality such as audio transcription, intelligent 404 page suggestions, and mass content classification through cost-effective solutions with free tiers offered by major providers. Enable your WordPress sites with AI tools to emphasize the creation of significant original content, minimizing workload and repetitive tasks.

This platform provides a well-organized collection of resources in AI, machine learning, and big data, drawing content from open-source project sites, technical communities like Stackoverflow and Github, and leading tech blogs. Updated daily, it serves as a key resource for AI professionals globally, supporting exploration and collaboration in the dynamic field of intelligence.